At its core the book teaches both foundational and advanced techniques: collecting and managing standard and custom metrics, high-resolution monitoring, efficient log ingestion and analytics, and crafting actionable alarms, dashboards, and EventBridge rules. Hands-on sections walk through alerting strategies, tracing and synthetic checks, cost and retention optimization, cross-account/multi-region setups, and Infrastructure-as-Code approaches that scale from prototypes to production telemetry pipelines.
Security, compliance, and operational hardening are woven throughout, with pragmatic IAM guidance, retention and archival patterns, and real-world case studies that surface common pitfalls and recovery playbooks. Packed with automation recipes, third-party integration patterns, and forward-looking notes on AI/ML-enhanced observability and extensibility, this book is an authoritative reference for building reliable, observable systems on AWS.
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